KDisclosurePrimary: Construct primary suppressed difference matrix

In GaussSuppression: Tabular Data Suppression using Gaussian Elimination

Construct primary suppressed difference matrix

Description

Function for constructing model matrix columns representing primary suppressed difference cells

Usage

KDisclosurePrimary(
  data,
  x,
  crossTable,
  freqVar,
  mc_hierarchies = NULL,
  coalition = 1,
  upper_bound = Inf,
  ...
)

Arguments

data	a data.frame representing the data set
x	ModelMatrix generated by parent function
crossTable	crossTable generated by parent function
freqVar	name of the frequency variable in data
mc_hierarchies	a hierarchy representing meaningful combinations to be protected. Default value is NULL.
coalition	numeric vector of length one, representing possible size of an attacking coalition. This parameter corresponds to the parameter k in the definition of k-disclosure.
upper_bound	numeric value representing minimum count considered safe. Default set to Inf
...	parameters passed to children functions

Value

dgCMatrix corresponding to primary suppressed cells

Author(s)

Daniel P. Lupp

GaussSuppression documentation built on Sept. 24, 2024, 5:07 p.m.